Machine learning
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Transcript of Machine learning
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Apurva Mittal (20141009)Ketan Gyanchandani (20141028)Riya Giri (20141058)Sanjeev Kumar (20141063)Saurabh Ojha (20141064)Vikash Kumar (20141072)
Group 10
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What is Machine Learning?
Machine learning is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed. Speech to Text as a part of Machine Learning
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Components of Speech To Text Interface
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Voice recognition Algorithm
i)Hidden Markovii) N-gram
•It is currently the most successful and most flexible approach to speech recognition.•Speech to text application is adapted to input messages in English.
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• What is Hidden Markov ?• Urn & Ball Model • Development of Hidden
Markov Library
Hidden Markov
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N-Gram Language Model
•N-gram : contiguous sequence of n items from given sequence of text or speech.•What is language model?•Markov Assumption: P(w1 w2 ……wn) ≈ ∏iP(wi/wi-k….wi-1)•Simplest case of markov model is unigram.
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• Unigram Model: P(w1 w2…….wn)≈ ∏P(wi)• Bigram Model: P(wi/w1 w2…….wn) ≈ P(wi/wi-1)• We can extend this to trigram, 4-gram, 5-grams and continue.
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• Hands free computing• Education and daily life• Blindness & Education
Problems faced in today’s world
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Why ANDROID Platform?
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Architecture
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Speech Recognition
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MAIN PARTS OF THE PROJECT
A. Voice Recognition Activity class
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B. SMS class
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C. XML files
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Some Part of Code to trigger Speech to Text
1. Speech is turned into a list
2. Voice recognition result.
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• Operating System used for development id free of cost and so is the eclipse ide used as an interface for application development.
• Free use and adaptation of operating system to manufacturers of mobile devices. • Equality of basic core applications and additional applications in access to
resources. • Optimized use of memory and automatic control of applications which are being
executed. • Quick and easy development of applications using development tools and rich
database of software libraries. • High quality of audiovisual content, it is possible to use vector graphics, and
most audio and video formats. • Ability to test applications on most computing platforms, including Windows,
Linux. Thus saving time and money.
Economic Feasibility
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Futu
re D
evelo
pmen
ts
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Thank you